code: def ensure_cugraph_obj_for_nx(
      obj,
      nx_weight_attr="weight",
      store_transposed=False,
      vertex_type="int32",
  ):
      """
      Ensures a cuGraph Graph-type obj is returned for either cuGraph or Nx
      Graph-type objs. If obj is a Nx type,
      """
      # FIXME: importing here to avoid circular import
      from cugraph.utilities.nx_factory import convert_from_nx
  
      input_type = type(obj)
      if is_nx_graph_type(input_type):
          return (
              convert_from_nx(
                  obj,
                  weight=nx_weight_attr,
                  store_transposed=store_transposed,
                  vertex_type=vertex_type,
              ),
              True,
          )
      elif is_cugraph_graph_type(input_type):
          return (obj, False)
      else:
          raise TypeError(
              "input must be either a cuGraph or NetworkX graph "
              f"type, got {input_type}"
          )
  
imports: import importlib
  import os
  import shutil
  from numba import cuda
  import cudf
  from cudf.core.column import as_column
  from cuda.cudart import cudaDeviceAttr
  from rmm._cuda.gpu import getDeviceAttribute
label_desc: Use image node_id 7 for calling a global function with example usage: ensure_cugraph_obj_for_nx(obj, nx_weight_attr, store_transposed, vertex_type) and returns: convert_from_nx,  True, obj,  False